Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
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Updated
Jun 30, 2024 - Python
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
This code reproduces the Swiss consumption model developed by Andreas Froemelt et al. in the paper "Using Data Mining To Assess Environmental Impacts of Household Consumption Behaviors".
Compute uncertainties in GWP and AGWP for environmental flows following Taylor approximation approach used in the IPCC Climate Change report from 2013.
This dashboard attempts to combine the motivation behind Global Sensitivity Analysis of Life Cycle Assessment, with necessary computations and visualization of the results -all in one place.
This dashboard attempts to combine the motivation behind Global Sensitivity Analysis of Life Cycle Assessment, with necessary computations and visualization of the results -all in one place.
This code reproduces the Swiss consumption model developed by Andreas Froemelt et al. in the paper "Using Data Mining To Assess Environmental Impacts of Household Consumption Behaviors".
Compute uncertainties in GWP and AGWP for environmental flows following Taylor approximation approach used in the IPCC Climate Change report from 2013.
Global sensitivity analysis that takes into account correlations and dependencies in the LCA model during uncertainty propagation with Monte Carlo approach.
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